Skip to main content
Glama
us-all

datadog-mcp-server

by us-all

update-spans-metric

Update a span-based metric by modifying its filter query, group-by fields, or percentile aggregation settings.

Instructions

Update a span-based metric's filter, group-by, or percentile settings

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
metricIdYesThe name of the span-based metric to update
includePercentilesNoWhether to include percentile aggregations. Only for distribution metrics
filterQueryNoUpdated APM search query to filter spans
groupByNoUpdated fields to group the metric by
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, and the description does not disclose behavioral traits such as whether updates are destructive, require permissions, or have side effects beyond the listed settings.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single focused sentence that front-loads the main action and resource, but it could be slightly more informative without becoming verbose.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The description omits important context such as the conditional nature of includePercentiles, the meaning of filterQuery, and whether the update is incremental or replaces existing settings, making it incomplete for a 4-parameter mutation tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100% with descriptions for each parameter. The description lists the parameter categories but adds no additional meaning beyond the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool updates a span-based metric and specifies the settings it can modify (filter, group-by, percentile), distinguishing it from create/delete siblings.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage for existing span-based metrics but provides no explicit guidance on when to use this versus alternatives like create-spans-metric or update-logs-metric.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/us-all/datadog-mcp-server'

If you have feedback or need assistance with the MCP directory API, please join our Discord server